Focus Areas
Try to improve current multi threading program with having one load but running
Linear Processing,
Thread,QueueWorkUserItem, and
Parallel Processing in the same instance
1) Difference between a Thread & a Task
Illustrate with an example
http://www.codeproject.com/Articles/152765/Task-Parallel-Library-of-n
2) how to read of Task Values.
Compare it with Thread.QueueWorkUserItem or Async Delegates
http://www.codeproject.com/Articles/152765/Task-Parallel-Library-of-n
3) Thread Continuation
http://www.codeproject.com/Articles/159533/Task-Parallel-Library-of-n
4) how to cancel Tasks
http://www.codeproject.com/Articles/152765/Task-Parallel-Library-of-n
5) How to handle Exceptions
using Try catch block
http://www.codeproject.com/Articles/152765/Task-Parallel-Library-of-n
6) Data Parallelism
Illustrate DataParallelismTest on X86( 2 Cores), X64 machines (8 cores)
7) Parallel LINQ
http://www.codeproject.com/Articles/161434/Task-Parallel-Library-of-n
7) Task Parallelism
5) Thread Pools - Deep Dive
http://www.danielmoth.com/Blog/New-And-Improved-CLR-4-Thread-Pool-Engine.aspx
Try to improve current multi threading program with having one load but running
Linear Processing,
Thread,QueueWorkUserItem, and
Parallel Processing in the same instance
Illustrate with a Chained one.
using Try catch block
http://www.codeproject.com/Articles/152765/Task-Parallel-Library-of-n
6) Data Parallelism
Illustrate DataParallelismTest on X86( 2 Cores), X64 machines (8 cores)
7) Parallel LINQ
http://www.codeproject.com/Articles/161434/Task-Parallel-Library-of-n
7) Task Parallelism
5) Thread Pools - Deep Dive
http://www.danielmoth.com/Blog/New-And-Improved-CLR-4-Thread-Pool-Engine.aspx
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